On Abandoning Hypothesis Testing in Environmental Standard Compliance Assessment.
We use basic characteristics of statistical significance test to argue the abandonment of hypothesis testing in environmental standard (or criterion) compliance assessment. The typical sample size used for environmental assessment is small, and the natural variation of many water quality constituent...
| Publicado en: | Environmental Management Vol. 62; no. 2; pp. 183 - 190 |
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| Autores principales: | , |
| Formato: | Journal Article |
| Publicado: |
Springer Nature
Aug2018
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=130627609&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 130627609 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 0364152X O5H jtl: Environmental Management issn: 0364152X maglogo: N pubinfo: dt: Aug2018 vid: 62 iid: 2 pid: 237 pub: Springer Nature place: New York, New York artinfo: ui: 130627609 10.1007/s00267-018-1037-2 130627609 ppf: 183 ppct: 7 formats: fmt: @attributes: type: P tig: atl: On Abandoning Hypothesis Testing in Environmental Standard Compliance Assessment. aug: au: Qian, Song S. Miltner, Robert J. affil: Department of Environmental Sciences, The University of Toledo, 2801 West Bancroft Street, MS# 604, 43606-3390, Toledo, OH, USA sug: ab: We use basic characteristics of statistical significance test to argue the abandonment of hypothesis testing in environmental standard (or criterion) compliance assessment. The typical sample size used for environmental assessment is small, and the natural variation of many water quality constituent concentrations is high. These conditions lead to low statistical power of the hypothesis tests used in the assessment process. As a result, using hypothesis testing is often inefficient in detecting noncompliance. When a noncompliance is detected, it is frequently due to sampling or other types of error. We illustrate the problems using two examples, through which we argue that these problems cannot be resolved under the current practice of assessing compliance one water at a time. We recommend that the hypothesis testing framework be replaced by a statistical estimation approach, which can more effectively leverage information from assessments on similar waters using a probabilistic assessment approach. pubtype: Academic Journal doctype: Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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